Filtros : "Ribeiro, Celma" Limpar

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  • Unidade: EP

    Subjects: ENERGIA SOLAR, ENERGIA EÓLICA, ENERGIA ELÉTRICA, PORTFÓLIOS

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      MORETTI, Victor Garboggini. Otimização de portfólio para associação de usinas eólicas e solares fotovoltaicas no setor elétrico brasileiro. 2024. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-26082024-133402/pt-br.php. Acesso em: 02 out. 2024.
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      Moretti, V. G. (2024). Otimização de portfólio para associação de usinas eólicas e solares fotovoltaicas no setor elétrico brasileiro (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3136/tde-26082024-133402/pt-br.php
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      Moretti VG. Otimização de portfólio para associação de usinas eólicas e solares fotovoltaicas no setor elétrico brasileiro [Internet]. 2024 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-26082024-133402/pt-br.php
    • Vancouver

      Moretti VG. Otimização de portfólio para associação de usinas eólicas e solares fotovoltaicas no setor elétrico brasileiro [Internet]. 2024 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-26082024-133402/pt-br.php
  • Source: Energies. Unidade: EP

    Subjects: ENERGIA ELÉTRICA, FONTES NÃO RENOVÁVEIS DE ENERGIA, HIDROGÊNIO, CONTABILIDADE DE CUSTO

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      SANTANA, José Carlos Curvelo et al. Economic and environmental assessment of hydrogen production from brazilian energy grid. Energies, v. 16, n. 9, p. 21 on-line, 2023Tradução . . Disponível em: https://doi.org/10.3390/en16093769. Acesso em: 02 out. 2024.
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      Santana, J. C. C., Machado, P. G., Nascimento, C. A. O. do, & Ribeiro, C. (2023). Economic and environmental assessment of hydrogen production from brazilian energy grid. Energies, 16( 9), 21 on-line. doi:10.3390/en16093769
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      Santana JCC, Machado PG, Nascimento CAO do, Ribeiro C. Economic and environmental assessment of hydrogen production from brazilian energy grid [Internet]. Energies. 2023 ; 16( 9): 21 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/en16093769
    • Vancouver

      Santana JCC, Machado PG, Nascimento CAO do, Ribeiro C. Economic and environmental assessment of hydrogen production from brazilian energy grid [Internet]. Energies. 2023 ; 16( 9): 21 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/en16093769
  • Source: Brazilian Journal of Chemical Engineering. Unidade: EP

    Assunto: FONTES RENOVÁVEIS DE ENERGIA

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      SILVA, Aline Veronese e RIBEIRO, Celma e REGO, Erik Eduardo. A data envelopment analysis approach to measuring socio-economic efficiency due to renewable energy sources in Brazilian regions. Brazilian Journal of Chemical Engineering, 2023Tradução . . Disponível em: https://doi.org/10.1007/s43153-023-00356-5. Acesso em: 02 out. 2024.
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      Silva, A. V., Ribeiro, C., & Rego, E. E. (2023). A data envelopment analysis approach to measuring socio-economic efficiency due to renewable energy sources in Brazilian regions. Brazilian Journal of Chemical Engineering. doi:10.1007/s43153-023-00356-5
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      Silva AV, Ribeiro C, Rego EE. A data envelopment analysis approach to measuring socio-economic efficiency due to renewable energy sources in Brazilian regions [Internet]. Brazilian Journal of Chemical Engineering. 2023 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s43153-023-00356-5
    • Vancouver

      Silva AV, Ribeiro C, Rego EE. A data envelopment analysis approach to measuring socio-economic efficiency due to renewable energy sources in Brazilian regions [Internet]. Brazilian Journal of Chemical Engineering. 2023 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1007/s43153-023-00356-5
  • Source: Journal for Nature Conservation. Unidade: EP

    Subjects: SUSTENTABILIDADE, AGROPECUÁRIA, USO DO SOLO, REDES NEURAIS, REFLORESTAMENTO

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      EL BATTI, Matheus Mansour et al. Land use policies and their effects on brazilian farming production. Journal for Nature Conservation, v. 73, p. 11 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jnc.2023.126373. Acesso em: 02 out. 2024.
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      El Batti, M. M., Machado, P. G., Hawkes, A., & Ribeiro, C. (2023). Land use policies and their effects on brazilian farming production. Journal for Nature Conservation, 73, 11 on-line. doi:10.1016/j.jnc.2023.126373
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      El Batti MM, Machado PG, Hawkes A, Ribeiro C. Land use policies and their effects on brazilian farming production [Internet]. Journal for Nature Conservation. 2023 ; 73 11 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.jnc.2023.126373
    • Vancouver

      El Batti MM, Machado PG, Hawkes A, Ribeiro C. Land use policies and their effects on brazilian farming production [Internet]. Journal for Nature Conservation. 2023 ; 73 11 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.jnc.2023.126373
  • Source: Energy Strategy Reviews. Unidade: EP

    Subjects: ENERGIA ELÉTRICA, ANÁLISE DE RISCO, INFERÊNCIA BAYESIANA

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      MACHADO, Pedro Gerber e RIBEIRO, Celma e NASCIMENTO, Cláudio Augusto Oller do. Risk analysis in energy projects using bayesian networks: a systematic review. Energy Strategy Reviews, v. 47, p. 13 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.esr.2023.101097. Acesso em: 02 out. 2024.
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      Machado, P. G., Ribeiro, C., & Nascimento, C. A. O. do. (2023). Risk analysis in energy projects using bayesian networks: a systematic review. Energy Strategy Reviews, 47, 13 on-line. doi:10.1016/j.esr.2023.101097
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      Machado PG, Ribeiro C, Nascimento CAO do. Risk analysis in energy projects using bayesian networks: a systematic review [Internet]. Energy Strategy Reviews. 2023 ; 47 13 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.esr.2023.101097
    • Vancouver

      Machado PG, Ribeiro C, Nascimento CAO do. Risk analysis in energy projects using bayesian networks: a systematic review [Internet]. Energy Strategy Reviews. 2023 ; 47 13 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.esr.2023.101097
  • Source: International Journal of Electrical Power & Energy Systems. Unidade: EP

    Subjects: ENERGIA ELÉTRICA, FONTES ALTERNATIVAS DE ENERGIA, RECURSOS NATURAIS, GASES

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      OLIVEIRA, Lucas Lyrio de e RIBEIRO, Celma e QADRDAN, Meysam. Analysis of electricity supply and demand intra-annual dynamics in Brazil: a multi-period and multi-regional generation expansion planning model. International Journal of Electrical Power & Energy Systems, v. 137, p. 18 on-line, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ijepes.2021.107886. Acesso em: 02 out. 2024.
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      Oliveira, L. L. de, Ribeiro, C., & Qadrdan, M. (2022). Analysis of electricity supply and demand intra-annual dynamics in Brazil: a multi-period and multi-regional generation expansion planning model. International Journal of Electrical Power & Energy Systems, 137, 18 on-line. doi:10.1016/j.ijepes.2021.107886
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      Oliveira LL de, Ribeiro C, Qadrdan M. Analysis of electricity supply and demand intra-annual dynamics in Brazil: a multi-period and multi-regional generation expansion planning model [Internet]. International Journal of Electrical Power & Energy Systems. 2022 ; 137 18 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.ijepes.2021.107886
    • Vancouver

      Oliveira LL de, Ribeiro C, Qadrdan M. Analysis of electricity supply and demand intra-annual dynamics in Brazil: a multi-period and multi-regional generation expansion planning model [Internet]. International Journal of Electrical Power & Energy Systems. 2022 ; 137 18 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.ijepes.2021.107886
  • Source: International Journal of Educational Development. Unidade: EP

    Subjects: ENSINO FUNDAMENTAL, ESCOLA PÚBLICA

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      AGASISTI, Tommaso e RIBEIRO, Celma e AUGUSTO, Daniel Sanches Montemor. The efficiency of Brazilian elementary public schools. International Journal of Educational Development, v. 93, p. 12 on-line, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ijedudev.2022.102627. Acesso em: 02 out. 2024.
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      Agasisti, T., Ribeiro, C., & Augusto, D. S. M. (2022). The efficiency of Brazilian elementary public schools. International Journal of Educational Development, 93, 12 on-line. doi:10.1016/j.ijedudev.2022.102627
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      Agasisti T, Ribeiro C, Augusto DSM. The efficiency of Brazilian elementary public schools [Internet]. International Journal of Educational Development. 2022 ; 93 12 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.ijedudev.2022.102627
    • Vancouver

      Agasisti T, Ribeiro C, Augusto DSM. The efficiency of Brazilian elementary public schools [Internet]. International Journal of Educational Development. 2022 ; 93 12 on-line.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.ijedudev.2022.102627
  • Unidade: EP

    Subjects: ELETRICIDADE, SISTEMAS ELÉTRICOS, FONTES RENOVÁVEIS DE ENERGIA

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      OLIVEIRA, Lucas Lyrio de. Electricity generation in Brazil: social, economic, and environmental perspectives through statistical and optimization models. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-27052022-095310/. Acesso em: 02 out. 2024.
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      Oliveira, L. L. de. (2021). Electricity generation in Brazil: social, economic, and environmental perspectives through statistical and optimization models (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3136/tde-27052022-095310/
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      Oliveira LL de. Electricity generation in Brazil: social, economic, and environmental perspectives through statistical and optimization models [Internet]. 2021 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-27052022-095310/
    • Vancouver

      Oliveira LL de. Electricity generation in Brazil: social, economic, and environmental perspectives through statistical and optimization models [Internet]. 2021 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-27052022-095310/
  • Source: Computer Aided Chemical Engineering. Conference titles: International Symposium on Process Systems Engineering (PSE 2018). Unidade: EP

    Subjects: FONTES NÃO RENOVÁVEIS DE ENERGIA, GERAÇÃO DE ENERGIA ELÉTRICA, EFEITO ESTUFA, GASES, RECURSOS NATURAIS

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      OLIVEIRA, Lucas Lyrio de et al. Insertion of renewable sources in the Brazilian Electricity Matrix: an analysis through portfolio theory. Computer Aided Chemical Engineering. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/B978-0-444-64241-7.50300-1. Acesso em: 02 out. 2024. , 2020
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      Oliveira, L. L. de, Ribeiro, C., Tomei, J., & Rego, E. E. (2020). Insertion of renewable sources in the Brazilian Electricity Matrix: an analysis through portfolio theory. Computer Aided Chemical Engineering. Amsterdam: Elsevier. doi:10.1016/B978-0-444-64241-7.50300-1
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      Oliveira LL de, Ribeiro C, Tomei J, Rego EE. Insertion of renewable sources in the Brazilian Electricity Matrix: an analysis through portfolio theory [Internet]. Computer Aided Chemical Engineering. 2020 ; 44 1831-1836.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50300-1
    • Vancouver

      Oliveira LL de, Ribeiro C, Tomei J, Rego EE. Insertion of renewable sources in the Brazilian Electricity Matrix: an analysis through portfolio theory [Internet]. Computer Aided Chemical Engineering. 2020 ; 44 1831-1836.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50300-1
  • Source: Energies. Unidades: EP, IME

    Subjects: DIÓXIDO DE CARBONO, ENERGIA, ENTROPIA, DEPÓSITOS DE COMBUSTÍVEL FÓSSIL, DISTRIBUIÇÕES (PROBABILIDADE)

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      TAKADA, Hellinton Hatsuo et al. Gini and entropy-based spread indexes for primary energy consumption efficiency and CO2 emission. Energies, v. 13, n. 18, 2020Tradução . . Disponível em: https://doi.org/10.3390/en13184938. Acesso em: 02 out. 2024.
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      Takada, H. H., Ribeiro, C., Costa, O. L. do V., & Stern, J. M. (2020). Gini and entropy-based spread indexes for primary energy consumption efficiency and CO2 emission. Energies, 13( 18). doi:10.3390/en13184938
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      Takada HH, Ribeiro C, Costa OL do V, Stern JM. Gini and entropy-based spread indexes for primary energy consumption efficiency and CO2 emission [Internet]. Energies. 2020 ; 13( 18):[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/en13184938
    • Vancouver

      Takada HH, Ribeiro C, Costa OL do V, Stern JM. Gini and entropy-based spread indexes for primary energy consumption efficiency and CO2 emission [Internet]. Energies. 2020 ; 13( 18):[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/en13184938
  • Unidade: EP

    Subjects: BIOENERGIA, RISCO, CANA-DE-AÇÚCAR

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      MUTRAN, Victoria Morgado. Production planning in sugarcane mills:: new biogas technologies and optimal decisions. 2020. Tese (Doutorado) – Universidade de São Paulo, Sõ Paulo, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-04032021-100540/. Acesso em: 02 out. 2024.
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      Mutran, V. M. (2020). Production planning in sugarcane mills:: new biogas technologies and optimal decisions. (Tese (Doutorado). Universidade de São Paulo, Sõ Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3136/tde-04032021-100540/
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      Mutran VM. Production planning in sugarcane mills:: new biogas technologies and optimal decisions. [Internet]. 2020 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-04032021-100540/
    • Vancouver

      Mutran VM. Production planning in sugarcane mills:: new biogas technologies and optimal decisions. [Internet]. 2020 ;[citado 2024 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3136/tde-04032021-100540/
  • Source: Applied Energy. Unidade: EP

    Subjects: INDÚSTRIA AÇUCAREIRA, INDÚSTRIA ALCOOLEIRA, ELETROFISIOLOGIA, FONTES RENOVÁVEIS DE ENERGIA

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      MUTRAN, Victoria Morgado et al. Risk-conscious optimization model to support bioenergy investments in the Brazilian sugarcane industry. Applied Energy, v. 258, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.apenergy.2019.113978. Acesso em: 02 out. 2024.
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      Mutran, V. M., Ribeiro, C., Nascimento, C. A. O. do, & Chachuat, B. (2020). Risk-conscious optimization model to support bioenergy investments in the Brazilian sugarcane industry. Applied Energy, 258, 1-15. doi:10.1016/j.apenergy.2019.113978
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      Mutran VM, Ribeiro C, Nascimento CAO do, Chachuat B. Risk-conscious optimization model to support bioenergy investments in the Brazilian sugarcane industry [Internet]. Applied Energy. 2020 ; 258 1-15.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.apenergy.2019.113978
    • Vancouver

      Mutran VM, Ribeiro C, Nascimento CAO do, Chachuat B. Risk-conscious optimization model to support bioenergy investments in the Brazilian sugarcane industry [Internet]. Applied Energy. 2020 ; 258 1-15.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.apenergy.2019.113978
  • Source: Biomass and Bioenergy. Unidade: EP

    Subjects: CANA-DE-AÇÚCAR, LEGISLAÇÃO AMBIENTAL

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      TOMEI, Julia et al. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil. Biomass and Bioenergy, v. 141, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.biombioe.2020.105700. Acesso em: 02 out. 2024.
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      Tomei, J., Oliveira, L. L. de, Ribeiro, C., Ho, L. L., & Montoya, L. G. (2020). Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil. Biomass and Bioenergy, 141. doi:10.1016/j.biombioe.2020.105700
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      Tomei J, Oliveira LL de, Ribeiro C, Ho LL, Montoya LG. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil [Internet]. Biomass and Bioenergy. 2020 ; 141[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.biombioe.2020.105700
    • Vancouver

      Tomei J, Oliveira LL de, Ribeiro C, Ho LL, Montoya LG. Assessing the relationship between sugarcane expansion and human development at the municipal level: a case study of Mato Grosso do Sul, Brazil [Internet]. Biomass and Bioenergy. 2020 ; 141[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.biombioe.2020.105700
  • Source: Renewable & Sustainable Energy Reviews. Unidade: EP

    Subjects: ELETRICIDADE, ELETROFISIOLOGIA, USO DO SOLO

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      OLIVEIRA, Lucas Lyrio de et al. Modelling the technical potential of bioelectricity production under land use constraints: a multi-region Brazil case study. Renewable & Sustainable Energy Reviews, v. 123, p. 1-15, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.rser.2020.109765. Acesso em: 02 out. 2024.
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      Oliveira, L. L. de, García Kerdan, I., Ribeiro, C., Nascimento, C. A. O. do, Rego, E. E., Giarola, S., & Hawkes, A. (2020). Modelling the technical potential of bioelectricity production under land use constraints: a multi-region Brazil case study. Renewable & Sustainable Energy Reviews, 123, 1-15. doi:10.1016/j.rser.2020.109765
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      Oliveira LL de, García Kerdan I, Ribeiro C, Nascimento CAO do, Rego EE, Giarola S, Hawkes A. Modelling the technical potential of bioelectricity production under land use constraints: a multi-region Brazil case study [Internet]. Renewable & Sustainable Energy Reviews. 2020 ; 123 1-15.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.rser.2020.109765
    • Vancouver

      Oliveira LL de, García Kerdan I, Ribeiro C, Nascimento CAO do, Rego EE, Giarola S, Hawkes A. Modelling the technical potential of bioelectricity production under land use constraints: a multi-region Brazil case study [Internet]. Renewable & Sustainable Energy Reviews. 2020 ; 123 1-15.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.rser.2020.109765
  • Source: Energy. Unidades: EP, IME

    Subjects: FONTES RENOVÁVEIS DE ENERGIA, GÁS CARBÔNICO

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      REGO, Erik Eduardo et al. The Trade-off between demand growth and renewables: A multiperiod electricity planning model under CO2 emission constraints. Energy, v. 213, n. art. 118832, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.energy.2020.118832. Acesso em: 02 out. 2024.
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      Rego, E. E., Costa, O. L. do V., Ribeiro, C., Lima Filho, R. I. da R., Takada, H. H., & Stern, J. M. (2020). The Trade-off between demand growth and renewables: A multiperiod electricity planning model under CO2 emission constraints. Energy, 213( art. 118832), 1-16. doi:10.1016/j.energy.2020.118832
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      Rego EE, Costa OL do V, Ribeiro C, Lima Filho RI da R, Takada HH, Stern JM. The Trade-off between demand growth and renewables: A multiperiod electricity planning model under CO2 emission constraints [Internet]. Energy. 2020 ; 213( art. 118832): 1-16.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.energy.2020.118832
    • Vancouver

      Rego EE, Costa OL do V, Ribeiro C, Lima Filho RI da R, Takada HH, Stern JM. The Trade-off between demand growth and renewables: A multiperiod electricity planning model under CO2 emission constraints [Internet]. Energy. 2020 ; 213( art. 118832): 1-16.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.energy.2020.118832
  • Source: Proceedings. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt. Unidades: IME, EP

    Subjects: ENTROPIA, DINHEIRO ELETRÔNICO, RISCO

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      TAKADA, Hellinton Hatsuo et al. Using entropy to forecast bitcoin’s daily conditional value at risk. Proceedings. Basel: MDPI. Disponível em: https://doi.org/10.3390/proceedings2019033007. Acesso em: 02 out. 2024. , 2019
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      Takada, H. H., Azevedo, S. X., Stern, J. M., & Ribeiro, C. (2019). Using entropy to forecast bitcoin’s daily conditional value at risk. Proceedings. Basel: MDPI. doi:10.3390/proceedings2019033007
    • NLM

      Takada HH, Azevedo SX, Stern JM, Ribeiro C. Using entropy to forecast bitcoin’s daily conditional value at risk [Internet]. Proceedings. 2019 ; 33( 1): 1-9.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/proceedings2019033007
    • Vancouver

      Takada HH, Azevedo SX, Stern JM, Ribeiro C. Using entropy to forecast bitcoin’s daily conditional value at risk [Internet]. Proceedings. 2019 ; 33( 1): 1-9.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/proceedings2019033007
  • Source: Procedia Manufacturing. Conference titles: International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing. Unidades: EP, FAU

    Subjects: TOMADA DE DECISÃO, DESENVOLVIMENTO DE PRODUTOS, PRODUTOS NOVOS, SATISFAÇÃO DO CONSUMIDOR, SERVIÇO AO CLIENTE

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      YAMAMURA, Charles Lincoln Kenji et al. The front-end of product development as systems thinking and predictive learning. Procedia Manufacturing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.promfg.2020.01.323. Acesso em: 02 out. 2024. , 2019
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      Yamamura, C. L. K., Ribeiro, C., Dantas, D., Quintanilha, J. A., & Berssaneti, F. T. (2019). The front-end of product development as systems thinking and predictive learning. Procedia Manufacturing. Amsterdam: Elsevier. doi:10.1016/j.promfg.2020.01.323
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      Yamamura CLK, Ribeiro C, Dantas D, Quintanilha JA, Berssaneti FT. The front-end of product development as systems thinking and predictive learning [Internet]. Procedia Manufacturing. 2019 ; 39 1346-1353.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.promfg.2020.01.323
    • Vancouver

      Yamamura CLK, Ribeiro C, Dantas D, Quintanilha JA, Berssaneti FT. The front-end of product development as systems thinking and predictive learning [Internet]. Procedia Manufacturing. 2019 ; 39 1346-1353.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.promfg.2020.01.323
  • Source: Proceedings. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt. Unidades: EACH, EP, IME

    Subjects: ESTUDOS RANDOMIZADOS, PROCESSOS ALEATÓRIOS

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      LAURETTO, Marcelo de Souza et al. Haphazard intentional sampling techniques in network design of monitoring stations. Proceedings. Basel: MDPI. Disponível em: https://doi.org/10.3390/proceedings2019033012. Acesso em: 02 out. 2024. , 2019
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      Lauretto, M. de S., Stern, R. B., Ribeiro, C., & Stern, J. M. (2019). Haphazard intentional sampling techniques in network design of monitoring stations. Proceedings. Basel: MDPI. doi:10.3390/proceedings2019033012
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      Lauretto M de S, Stern RB, Ribeiro C, Stern JM. Haphazard intentional sampling techniques in network design of monitoring stations [Internet]. Proceedings. 2019 ; 33( 1): 1-9.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/proceedings2019033012
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      Lauretto M de S, Stern RB, Ribeiro C, Stern JM. Haphazard intentional sampling techniques in network design of monitoring stations [Internet]. Proceedings. 2019 ; 33( 1): 1-9.[citado 2024 out. 02 ] Available from: https://doi.org/10.3390/proceedings2019033012
  • Source: Energy Economics. Unidades: EP, FEARP

    Subjects: ADMINISTRAÇÃO DE RISCO, CANA-DE-AÇÚCAR, ETANOL, PREÇO AGRÍCOLA

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      OLIVEIRA, Sydnei Marssal de e RIBEIRO, Celma e ABREU, Maria Paula Vieira Cicogna. Uncertainty effects on production mix and on hedging decisions: the case of Brazilian ethanol and sugar. Energy Economics, v. 70, p. 516-524, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eneco.2018.01.025. Acesso em: 02 out. 2024.
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      Oliveira, S. M. de, Ribeiro, C., & Abreu, M. P. V. C. (2018). Uncertainty effects on production mix and on hedging decisions: the case of Brazilian ethanol and sugar. Energy Economics, 70, 516-524. doi:10.1016/j.eneco.2018.01.025
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      Oliveira SM de, Ribeiro C, Abreu MPVC. Uncertainty effects on production mix and on hedging decisions: the case of Brazilian ethanol and sugar [Internet]. Energy Economics. 2018 ; 70 516-524.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.eneco.2018.01.025
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      Oliveira SM de, Ribeiro C, Abreu MPVC. Uncertainty effects on production mix and on hedging decisions: the case of Brazilian ethanol and sugar [Internet]. Energy Economics. 2018 ; 70 516-524.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.eneco.2018.01.025
  • Source: Computer Aided Chemical Engineering. Conference titles: International Symposium on Process Systems Engineering (PSE 2018). Unidade: EP

    Subjects: CANA-DE-AÇÚCAR, BIOENERGIA, REDES NEURAIS

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      MUTRAN, Victoria Morgado et al. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/B978-0-444-64241-7.50156-7. Acesso em: 02 out. 2024. , 2018
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      Mutran, V. M., Ribeiro, C., Nascimento, C. A. O. do, & Rego, E. E. (2018). Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. doi:10.1016/B978-0-444-64241-7.50156-7
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      Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7
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      Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7

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